IDEAS home Printed from https://ideas.repec.org/a/spr/aphecp/v16y2018i5d10.1007_s40258-018-0404-8.html
   My bibliography  Save this article

Development of Conversion Functions Mapping the FACT-B Total Score to the EQ-5D-5L Utility Value by Three Linking Methods and Comparison with the Ordinary Least Square Method

Author

Listed:
  • Chun Fan Lee

    (The University of Hong Kong)

  • Raymond Ng

    (National Cancer Center)

  • Nan Luo

    (National University of Singapore)

  • Yin Bun Cheung

    (Duke-NUS Medical School
    Singapore Clinical Research Institute
    University of Tampere and Tampere University Hospital)

Abstract

Introduction Health-related quality-of-life (HRQoL) measures are commonly mapped to a value that represents a utility for economic evaluation via regression models, which may lead to shrinkage of the variance. Objectives This study aimed to develop and compare conversion functions that map the Functional Assessment of Cancer Therapy—Breast (FACT-B) total score to the EuroQoL 5-Dimensions, 5-Levels (EQ-5D-5L) utility value via four methods. Methods We used the HRQoL scores of 238 Singapore patients with breast cancer to develop the conversion function for the equipercentile, linear equating, mean rank and ordinary least squares (OLS) methods. We compared the distributions of the observed values and the four sets of mapped values and performed regression analyses to assess whether the association with risk factors was preserved by utility values derived from mapping. Results At baseline, the observed EQ-5D-5L utility value had a mean ± standard deviation (SD) of 0.820 ± 0.152, and 24.8% of the respondents attained a value of 1. The OLS method (mean 0.820; SD 0.112; proportion 0%) better agreed with the observed data than the equipercentile (mean 0.831; SD 0.152; proportion 23.5%), linear equating (mean 0.814; SD 0.145; proportion 11.8%) and mean rank method (mean 0.821; SD 0.147; proportion 23.9%). The significance of association was preserved for all parameters involved in the regression analyses by the equipercentile and linear equating methods, but the mean rank and OLS methods were inconsistent with the observed data for one and two parameters, respectively. Conclusion The problem of shrinkage in the variance occurred in the OLS method, but it provided an unbiased estimate for the mean and better agreement. Among the other three linking methods, the mean rank method better described the distribution, whereas the equipercentile and linear equating methods better assessed the association with risk factors.

Suggested Citation

  • Chun Fan Lee & Raymond Ng & Nan Luo & Yin Bun Cheung, 2018. "Development of Conversion Functions Mapping the FACT-B Total Score to the EQ-5D-5L Utility Value by Three Linking Methods and Comparison with the Ordinary Least Square Method," Applied Health Economics and Health Policy, Springer, vol. 16(5), pages 685-695, October.
    • Handle: RePEc:spr:aphecp:v:16:y:2018:i:5:d:10.1007_s40258-018-0404-8
    DOI: 10.1007/s40258-018-0404-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40258-018-0404-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40258-018-0404-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Aki Tsuchiya & Shunya Ikeda & Naoki Ikegami & Shuzo Nishimura & Ikuro Sakai & Takashi Fukuda & Chisato Hamashima & Akinori Hisashige & Makoto Tamura, 2002. "Estimating an EQ‐5D population value set: the case of Japan," Health Economics, John Wiley & Sons, Ltd., vol. 11(4), pages 341-353, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Clara Mukuria & Donna Rowen & Sue Harnan & Andrew Rawdin & Ruth Wong & Roberta Ara & John Brazier, 2019. "An Updated Systematic Review of Studies Mapping (or Cross-Walking) Measures of Health-Related Quality of Life to Generic Preference-Based Measures to Generate Utility Values," Applied Health Economics and Health Policy, Springer, vol. 17(3), pages 295-313, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Samer A. Kharroubi & Yara Beyh & Marwa Diab El Harake & Dalia Dawoud & Donna Rowen & John Brazier, 2020. "Examining the Feasibility and Acceptability of Valuing the Arabic Version of SF-6D in a Lebanese Population," IJERPH, MDPI, vol. 17(3), pages 1-15, February.
    2. Feng Xie & A. Pickard & Paul Krabbe & Dennis Revicki & Rosalie Viney & Nancy Devlin & David Feeny, 2015. "A Checklist for Reporting Valuation Studies of Multi-Attribute Utility-Based Instruments (CREATE)," PharmacoEconomics, Springer, vol. 33(8), pages 867-877, August.
    3. Mathieu F. Janssen & Ines Buchholz & Dominik Golicki & Gouke J. Bonsel, 2022. "Is EQ-5D-5L Better Than EQ-5D-3L Over Time? A Head-to-Head Comparison of Responsiveness of Descriptive Systems and Value Sets from Nine Countries," PharmacoEconomics, Springer, vol. 40(11), pages 1081-1093, November.
    4. Munir A. Khan & Jeff Richardson, 2019. "Is the Validity of Cost Utility Analysis Improved When Utility is Measured by an Instrument with ‘Home-Country’ Weights? Evidence from Six Western Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 1-15, August.
    5. Mathieu F. Janssen & Gouke J. Bonsel & Nan Luo, 2018. "Is EQ-5D-5L Better Than EQ-5D-3L? A Head-to-Head Comparison of Descriptive Systems and Value Sets from Seven Countries," PharmacoEconomics, Springer, vol. 36(6), pages 675-697, June.
    6. Hidetoshi Shibahara & Takeru Shiroiwa & Megumi Ishiguro & Masato Nakamura & Junichi Hasegawa & Shigeki Yamaguchi & Yuriko Masuda & Junichi Sakamoto & Naohiro Tomita & Takashi Fukuda, 2022. "Cost-effectiveness of 12 months of capecitabine as adjuvant chemotherapy for stage III colon cancer: preplanned cost-effectiveness analysis of the JFMC37-0801 study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(7), pages 1159-1171, September.
    7. Yasuhiro Hagiwara & Takeru Shiroiwa & Kojiro Shimozuma & Takuya Kawahara & Yukari Uemura & Takanori Watanabe & Naruto Taira & Takashi Fukuda & Yasuo Ohashi & Hirofumi Mukai, 2018. "Impact of Adverse Events on Health Utility and Health-Related Quality of Life in Patients Receiving First-Line Chemotherapy for Metastatic Breast Cancer: Results from the SELECT BC Study," PharmacoEconomics, Springer, vol. 36(2), pages 215-223, February.
    8. Irina Cleemput, 2010. "A social preference valuations set for EQ-5D health states in Flanders, Belgium," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(2), pages 205-213, April.
    9. Julie Chevalier & Gérard Pouvourville, 2013. "Valuing EQ-5D using Time Trade-Off in France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 57-66, February.
    10. Richard Norman & Paula Cronin & Rosalie Viney, 2012. "Deriving utility weights for the EQ-5D-5L using a discrete choice experiment. CHERE Working Paper 2012/01," Working Papers 2012/01, CHERE, University of Technology, Sydney.
    11. Eleanor Pullenayegum & Kuhan Perampaladas & Kathryn Gaebel & Brett Doble & Feng Xie, 2015. "Between-country heterogeneity in EQ-5D-3L scoring algorithms: how much is due to differences in health state selection?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(8), pages 847-855, November.
    12. Nan Luo & Pei Wang & Julian Thumboo & Yee-Wei Lim & Hubertus Vrijhoef, 2014. "Valuation of EQ-5D-3L Health States in Singapore: Modeling of Time Trade-Off Values for 80 Empirically Observed Health States," PharmacoEconomics, Springer, vol. 32(5), pages 495-507, May.
    13. Kelvin K. W. Chan & Feng Xie & Andrew R. Willan & Eleanor M. Pullenayegum, 2018. "Conducting EQ-5D Valuation Studies in Resource-Constrained Countries: The Potential Use of Shrinkage Estimators to Reduce Sample Size," Medical Decision Making, , vol. 38(1), pages 26-33, January.
    14. Imai, Hirohisa & Fujii, Yoshinori & Fukuda, Yoshiharu & Nakao, Hiroyuki & Yahata, Yuichiro, 2008. "Health-related quality of life and beneficiaries of long-term care insurance in Japan," Health Policy, Elsevier, vol. 85(3), pages 349-355, March.
    15. Rodríguez-Míguez, E. & Abellán-Perpiñán, J.M. & Alvarez, X.C. & González, X.M. & Sampayo, A.R., 2016. "The DEP-6D, a new preference-based measure to assess health states of dependency," Social Science & Medicine, Elsevier, vol. 153(C), pages 210-219.
    16. L. M. Lamers & J. McDonnell & P. F. M. Stalmeier & P. F. M. Krabbe & J. J. V. Busschbach, 2006. "The Dutch tariff: results and arguments for an effective design for national EQ‐5D valuation studies," Health Economics, John Wiley & Sons, Ltd., vol. 15(10), pages 1121-1132, October.
    17. Bansback, Nick & Brazier, John & Tsuchiya, Aki & Anis, Aslam, 2012. "Using a discrete choice experiment to estimate health state utility values," Journal of Health Economics, Elsevier, vol. 31(1), pages 306-318.
    18. Garry R. Barton & Tracey H. Sach & Anthony J. Avery & Claire Jenkinson & Michael Doherty & David K. Whynes & Kenneth R. Muir, 2008. "A comparison of the performance of the EQ‐5D and SF‐6D for individuals aged ≥ 45 years," Health Economics, John Wiley & Sons, Ltd., vol. 17(7), pages 815-832, July.
    19. Leida M. Lamers & Peep F. M. Stalmeier & Paul F. M. Krabbe & Jan J. V. Busschbach, 2006. "Inconsistencies in TTO and VAS Values for EQ-5D Health States," Medical Decision Making, , vol. 26(2), pages 173-181, March.
    20. Mônica Viegas Andrade & Kenya Noronha & Paul Kind & Carla de Barros Reis & Lucas Resende de Carvalho, 2016. "Logical Inconsistencies in 3 Preference Elicitation Methods for EQ-5D Health States," Medical Decision Making, , vol. 36(2), pages 242-252, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:aphecp:v:16:y:2018:i:5:d:10.1007_s40258-018-0404-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.